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Journal of Medical Internet Research

Citing this Article

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Published on 04.02.14 in Vol 16, No 2 (2014): February

This paper is in the following e-collection/theme issue:

Works citing "The 1% Rule in Four Digital Health Social Networks: An Observational Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2966):

(note that this is only a small subset of citations)

  1. Smith RJ, Crutchley P, Schwartz HA, Ungar L, Shofer F, Padrez KA, Merchant RM. Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study. Journal of Medical Internet Research 2017;19(1):e7
    CrossRef
  2. van Mierlo T, Li X, Hyatt D, Ching AT. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40
    CrossRef
  3. Huber J, Maatz P, Muck T, Keck B, Friederich H, Herzog W, Ihrig A. The effect of an online support group on patients׳ treatment decisions for localized prostate cancer: An online survey. Urologic Oncology: Seminars and Original Investigations 2017;35(2):37.e19
    CrossRef
  4. Moore D, Drey N, Ayers S. Use of Online Forums for Perinatal Mental Illness, Stigma, and Disclosure: An Exploratory Model. JMIR Mental Health 2017;4(1):e6
    CrossRef
  5. Aydin MN, Perdahci NZ. Dynamic network analysis of online interactive platform. Information Systems Frontiers 2017;
    CrossRef
  6. Anderson L, Bell HG, Gilbert M, Davidson JE, Winter C, Barratt MJ, Win B, Painter JL, Menone C, Sayegh J, Dasgupta N. Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis. JMIR Public Health and Surveillance 2017;3(1):e6
    CrossRef
  7. Bateman DR, Brady E, Wilkerson D, Yi E, Karanam Y, Callahan CM. Comparing Crowdsourcing and Friendsourcing: A Social Media-Based Feasibility Study to Support Alzheimer Disease Caregivers. JMIR Research Protocols 2017;6(4):e56
    CrossRef
  8. Wilkerson DA. Lurking Behavior in Online Psychosocial Discussion Forums: Theoretical Perspectives and Implications for Practice. Journal of Technology in Human Services 2016;34(3):256
    CrossRef
  9. Allen C, Vassilev I, Kennedy A, Rogers A. Long-Term Condition Self-Management Support in Online Communities: A Meta-Synthesis of Qualitative Papers. Journal of Medical Internet Research 2016;18(3):e61
    CrossRef
  10. de la Loge C, Dimova S, Mueller K, Phillips G, Durgin TL, Wicks P, Borghs S. PatientsLikeMe® Online Epilepsy Community: Patient characteristics and predictors of poor health-related quality of life. Epilepsy & Behavior 2016;63:20
    CrossRef
  11. Amichai-Hamburger Y, Gazit T, Bar-Ilan J, Perez O, Aharony N, Bronstein J, Sarah Dyne T. Psychological factors behind the lack of participation in online discussions. Computers in Human Behavior 2016;55:268
    CrossRef
  12. van Mierlo T, Hyatt D, Ching AT, Fournier R, Dembo RS. Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity. JMIR Serious Games 2016;4(1):e1
    CrossRef
  13. van Mierlo T, Hyatt D, Ching AT. Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1)
    CrossRef
  14. Lumba-Brown A, Tat S, Auerbach MA, Kessler DO, Alletag M, Grover P, Schnadower D, Macias CG, Chang TP. PEMNetwork. Pediatric Emergency Care 2016;32(8):565
    CrossRef
  15. Carron-Arthur B, Reynolds J, Bennett K, Bennett A, Griffiths KM. What’s all the talk about? Topic modelling in a mental health Internet support group. BMC Psychiatry 2016;16(1)
    CrossRef
  16. Monteith S, Glenn T. Automated Decision-Making and Big Data: Concerns for People With Mental Illness. Current Psychiatry Reports 2016;18(12)
    CrossRef
  17. Gegenhuber T, Dobusch L. Making an Impression Through Openness: How Open Strategy-Making Practices Change in the Evolution of New Ventures. Long Range Planning 2016;
    CrossRef
  18. Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2016;
    CrossRef
  19. Zhang S, O’Carroll Bantum E, Owen J, Bakken S, Elhadad N. Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact. Journal of the American Medical Informatics Association 2016;:ocw093
    CrossRef
  20. Love SM, Sanders MR, Turner KM, Maurange M, Knott T, Prinz R, Metzler C, Ainsworth AT. Social media and gamification: Engaging vulnerable parents in an online evidence-based parenting program. Child Abuse & Neglect 2016;53:95
    CrossRef
  21. Brusilovsky P, Oh JS, López C, Parra D, Jeng W. Linking information and people in a social system for academic conferences. New Review of Hypermedia and Multimedia 2016;:1
    CrossRef
  22. Meng J. Your Health Buddies Matter: Preferential Selection and Social Influence on Weight Management in an Online Health Social Network. Health Communication 2016;31(12):1460
    CrossRef
  23. Carron-Arthur B, Reynolds J, Bennett K, Bennett A, Cunningham JA, Griffiths KM. Community Structure of a Mental Health Internet Support Group: Modularity in User Thread Participation. JMIR Mental Health 2016;3(2):e20
    CrossRef
  24. Cantin A, Lahaie A, Odobasic B, Tremblay M, Wazzan D, Caron S, Leblanc C, Martineau J, Lalonde L. Evaluation of a continuous quality improvement program in anticoagulant therapy. Canadian Pharmacists Journal / Revue des Pharmaciens du Canada 2016;149(6):352
    CrossRef
  25. Moore D, Ayers S, Drey N. A Thematic Analysis of Stigma and Disclosure for Perinatal Depression on an Online Forum. JMIR Mental Health 2016;3(2):e18
    CrossRef
  26. Gidwani R, Zulman D. Association Between Acute Medical Exacerbations and Consuming or Producing Web-Based Health Information: Analysis From Pew Survey Data. Journal of Medical Internet Research 2015;17(6):e145
    CrossRef
  27. Carron-Arthur B, Ali K, Cunningham JA, Griffiths KM. From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities. Journal of Medical Internet Research 2015;17(12):e271
    CrossRef
  28. Nicholls SG, Quach P, von Elm E, Guttmann A, Moher D, Petersen I, Sørensen HT, Smeeth L, Langan SM, Benchimol EI, Tu Y. The REporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) Statement: Methods for Arriving at Consensus and Developing Reporting Guidelines. PLOS ONE 2015;10(5):e0125620
    CrossRef
  29. Smith RJ, Merchant RM. Harnessing the crowd to accelerate molecular medicine research. Trends in Molecular Medicine 2015;21(7):403
    CrossRef
  30. Weeks BE, Ardèvol-Abreu A, Gil de Zúñiga H. Online Influence? Social Media Use, Opinion Leadership, and Political Persuasion. International Journal of Public Opinion Research 2015;:edv050
    CrossRef
  31. Gummerus J, Liljander V, Sihlman R. Do Ethical Social Media Communities Pay Off? An Exploratory Study of the Ability of Facebook Ethical Communities to Strengthen Consumers’ Ethical Consumption Behavior. Journal of Business Ethics 2015;
    CrossRef
  32. van Mierlo T, Hyatt D, Ching AT. Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications. Journal of Medical Internet Research 2015;17(6):e160
    CrossRef
  33. Healey B, Hoek J, Edwards R, Shahab L. Posting Behaviour Patterns in an Online Smoking Cessation Social Network: Implications for Intervention Design and Development. PLoS ONE 2014;9(9):e106603
    CrossRef
  34. O'Neill B, Ziebland S, Valderas J, Lupiáñez-Villanueva F. User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom. Journal of Medical Internet Research 2014;16(4):e118
    CrossRef
  35. Carron-Arthur B, Cunningham JA, Griffiths KM. Describing the distribution of engagement in an Internet support group by post frequency: A comparison of the 90-9-1 Principle and Zipf's Law. Internet Interventions 2014;1(4):165
    CrossRef
  36. Merchant RM, Griffis HM, Ha YP, Kilaru AS, Sellers AM, Hershey JC, Hill SS, Kramer-Golinkoff E, Nadkarni L, Debski MM, Padrez KA, Becker LB, Asch DA. Hidden in Plain Sight: A Crowdsourced Public Art Contest to Make Automated External Defibrillators More Visible. American Journal of Public Health 2014;104(12):2306
    CrossRef
  37. May A, Parker CJ, Taylor N, Ross T. Evaluating a concept design of a crowd-sourced ‘mashup’ providing ease-of-access information for people with limited mobility. Transportation Research Part C: Emerging Technologies 2014;49:103
    CrossRef
  38. Stearns M, Nambiar S, Nikolaev A, Semenov A, McIntosh S. Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics 2014;3(1)
    CrossRef
  39. Sun N, Rau PP, Ma L. Understanding lurkers in online communities: A literature review. Computers in Human Behavior 2014;38:110
    CrossRef
  40. Ünlü Ince B, Cuijpers P, van 't Hof E, Riper H. Reaching and recruiting Turkish migrants for a clinical trial through Facebook: A process evaluation. Internet Interventions 2014;1(2):74
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2966)

:
  1. Buder J. The Psychology of Digital Learning. 2017. Chapter 6:105
    CrossRef
  2. Holmberg K. Altmetrics for Information Professionals. 2016. :105
    CrossRef
  3. Altmetrics for Information Professionals. 2016. :131
    CrossRef